Nonlinear Analysis (Apr 2015)

A note on the tail behavior of randomly weighted and stopped dependent sums

  • Lina Dindienė,
  • Remigijus Leipus

DOI
https://doi.org/10.15388/NA.2015.2.8
Journal volume & issue
Vol. 20, no. 2

Abstract

Read online

In this paper, we deal with the tail behavior of the maximum of randomly weighted and stopped sums. We assume that primary random variables (with a certain dependence structure) are identically distributed with heavy-tailed distribution function and random weights are nonnegative. In this note, we specify some conditions for the (weak) asymptotics of the tail of random maximum.

Keywords